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Job Description Job Description Description At Nüvitek , customer success is our Ethos; together, we drive transformational outcomes. We only succeed when our customers succeed. We partner with our customers to achieve business objectives by using our proven customer-centric, value-driven business practices and service delivery methodologies. In assuming this position, you will be a critical contributor to meeting Nuvitek's mission: To deliver innovative, cost-effective solutions and services that enable our customers to rapidly adapt to dynamic environments. As a Lead Consultant, ServiceNow , you will play a vital role at Nuvitek. You will work closely with an equally enthusiastic team of developers and engineers in an Agile environment to modernize our customers' applications using low-code solutions and enhance the ServiceNow platform for our organization. Location: Hybrid: Chantilly, VA (Government/Contractor SCIF) 75% on-site/25% remote Clearance: Active Top Secret SCI Required What you will do: Help to envision, design, and implement new features utilizing the ServiceNow low-code platform for the projects based on the prioritized product backlog Bring innovative, out-of-the-box thinking to solving challenging problems, brainstorming with peers, and utilizing available resources, including internal as well as external resources Build service requests from the requirements, including requests, request items, and tasks using workflows - manage data flows from the customer to the support teams providing the service Demonstrated experience in ServiceNow development, configuration, and administration, including experience leading teams in ServiceNow deployments. Unit test all developed features, including edge cases. Also, be comfortable conducting peer reviews of other developer's code as needed Attend and actively participate in all Agile-related meetings. Work within the Agile framework, including participating in User Story grooming sessions, Sprint Planning meetings, and retrospectives Delivery presentations as required to the client during Sprint demos and coordinating meetings with intersecting teams as required. Participate in implementation architectures for digital solutions, frameworks, and accelerators. Participate in knowledge-sharing sessions within the company to socialize best practices and draft white papers as applicable. Help with building proof of concept, and creating technical solutions for internal application as needed. What you will bring: Bachelor's degree in computer science, Information Systems, or an equivalent technical field. 8+ years of professional experience with the ServiceNow eco-system performing project implementations that exploit the ServiceNow platform's full capabilities (discover, design, implement, and optimize) while delivering in an Agile framework. 6+ years specializing in multiple offerings like major ServiceNow suites (ITSM, ITOM, HRSD, CMDB, SPM) Experience with programming languages like JavaScript, Glide API, Business Rules, Client Scripts, UI Policies, Script Includes, Flow Designer, Integration Hub, Service Portal, and platform scripting. Demonstrate extensive experience in creating and managing complex integrations such as SOAP, REST, SSO, SAML, SSL, LDAP, JDBC, ODBC, MID Servers, Ebonding, API development, Data Migration, and Flow Designer automation etc. Experience with Service Portal development using AngularJS, HTML, CSS, and Bootstrap is a plus. Knowledge of MID Server, LDAP, SSO, OAuth, and Web Services integration. Experience with CI/CD integrations, DevSecOps and security-in-the-pipeline, and code review. A solid understanding of IT delivery methodology and leading teams in the implementation of the solution according to the design/architecture. Experience with configuring ServiceNow components such as Flows, Spokes, Service Catalog, App Engine, Change /Incident/Problem Management, Asset Management, CMDB, Knowledge, Event Management, etc. Experience with creating reports and dashboards within ServiceNow Performance Analytics. Obtain the Following Certifications: ServiceNow Certified System Administrator (CSA) Obtain a cybersecurity focused certification like Security+ ServiceNow Developer for IT, Security, HR, CS, Platform Application Development ITIL 4 Foundation (ITIL 4) Fairly good understanding of data concepts (SQL, Databases) and business workflows Strong verbal and writing skills, including the demonstrated ability to effectively communicate at all levels with technical as well as business resources US Citizen, ability to attain public trust clearance. Highly Desired Qualifications Unique combination of being business-minded and highly analytical while also having a strong and deep technical background in ServiceNow Able and willing to work independently and in a fast-paced environment with tight deadlines with minimal supervision Experience handling multiple tasks, changing priorities, and timely action; experience with Agile methodologies and project management. Strong troubleshooting, problem-solving, and organizational and time management skills. Good communication and interpersonal skills in a remote environment Experience working with software development team members. Other open sources of technology experience preferred Experience working with the U.S. Federal Government and its agencies. Obtain the Following Certifications: ServiceNow Certified Implementation Specialist (CIS) in one or more modules (ITSM, HRSD, ITAM, or SecOps) SAFe Scrum Master (SSM), SAFe Agilist (SA), or Certified Scrum Master (CSM) Why Join Nuvitek? Opportunity to shape innovative digital solutions while being equally valued for hands-on problem-solving and presales creativity. A collaborative, Agile work culture focused on continuous improvement, learning, and mentorship. High-impact role that bridges client engagement and technical delivery-ideal for professionals seeking a balance between customer interaction and technical depth. Nuvitek is proud to offer a comprehensive benefits package: Medical Insurance Dental Insurance Vision Insurance Disability and Life Insurance Parental Leave 401K Paid Time Off Equal Opportunity Employer Statement Nuvitek is an equal-opportunity employer as to all protected groups, including protected veterans and individuals with disabilities. AI & Interview Technology Disclosure Nüvitek uses artificial intelligence (AI) technology to assist with the review and organization of job applications. AI-assisted tools may be used to help identify application information relevant to the position; however, AI does not make hiring decisions. Employment decisions are made by Nüvitek through human review and consideration of candidate qualifications. During interviews, Nüvitek may use Google Gemini as a notetaking and meeting-assistance tool to help document and organize interview discussions. Candidates will be informed when AI-assisted notetaking is used during an interview.

Job DescriptionJob Description If you're looking for a "stable day program" job, keep scrolling. Most "day programs" are built on passive energy-people sitting in rooms, killing time, and waiting for the shift to end. That's not what we do here. At Avant, we are a disruption to the status quo. is about social impact, networking, and building the confidence people need to run their own lives. We are looking for Mentors who act more like agents or business coaches than "staff." The Reality Check We are obsessive about our culture. We don't hire "warm bodies." We hire winners who have a deep, bone-deep conviction that everyone-regardless of their support needs-deserves to chase their version of the American Dream. This role is for you if: You find "business as usual" boring and systemic barriers offensive. You're the person who speaks up when something isn't right. You see technology as a way to give people their privacy back, not just a cool gadget. You're an entrepreneur at heart. We want people who can help others launch micro-businesses and build actual careers. You're a high-performer who wants to be surrounded by other high-performers. This is NOT for you if: You have "passive energy." If you wait for a manager to tell you exactly what to do every hour, you will fail here. You think "good enough" is an acceptable standard for the people we support. You struggle with technology or change. We move fast and use tools to stay ahead. The Work You won't be sitting in a facility. You'll be out in the community, networking, and helping people develop skills that actually matter. You'll work closely with Work With Purpose to bridge the gap between "pre-vocational training" and actual self-sufficiency. Administrative Note Scope of Work: Perform other duties as assigned by Managers or Directors to support the evolving needs of the individuals and the agency. Operational Flexibility: The expectation to work additional hours beyond your primary schedule, availability between 7:00 am to 7:00 pm, to meet the needs of our clients, address emergencies, or ensure operational excellence. The Gauntlet We don't just check your references; we test your heart. Round 1 - Vibe Check: You'll do a video assessment via Willo so we can see your energy before we meet. Round 2 - The Profile: We use CliftonStrengths to see how you're wired. We only put people in positions where they can win. You will do a live interview with our hiring team to review the results. Round 3 - The Shadow: You'll join us for a job shadow. You'll see the high bar we set, and we'll see if you can clear it. The Launch: Our 1-60 day training is aggressive. It's designed to weave you into our culture so that by day 61, you live and breathe Avant values. The Bottom Line The pay is competitive, the team is elite, and the mission is real. If you're tired of being the only one in your department who cares, come join a company where everyone does. The Tech-Forward Edge We don't just use technology; it is the backbone of how we create, collaborate, and communicate. As a highly technical organization, we operate at a fast pace where digital fluency isn't just a plus-it's a prerequisite. We expect every member of our team to be more than just "comfortable" with a computer; you should be a power user who thrives in a cloud-first environment. What We're Looking For: High Technical Aptitude: You possess a natural curiosity for software and a "figure-it-out" mentality when navigating new platforms. Google Workspace Mastery: Preference is given to candidates who are experts in the Google Workspace ecosystem (Drive, Docs, Sheets, Slides, and Admin). You should understand how to leverage these tools for maximum efficiency and real-time collaboration. Digital Agility: Whether it's automating a workflow, managing complex file architectures, or troubleshooting your own stack, you stay ahead of the curve. Why Join the Avant Team? You won't just be "checking boxes." You will be the visionary who ensures our medical systems are as resilient as the people we support. You'll have the autonomy to build better protocols and the clinical heart to care for those who need it most. Ready to prove you belong? Apply now.

Job DescriptionJob Description If you're looking for a "stable day program" job, keep scrolling. Most "day programs" are built on passive energy-people sitting in rooms, killing time, and waiting for the shift to end. That's not what we do here. At Avant, we are a disruption to the status quo. is about social impact, networking, and building the confidence people need to run their own lives. We are looking for Mentors who act more like agents or business coaches than "staff." The Reality Check We are obsessive about our culture. We don't hire "warm bodies." We hire winners who have a deep, bone-deep conviction that everyone-regardless of their support needs-deserves to chase their version of the American Dream. This role is for you if: You find "business as usual" boring and systemic barriers offensive. You're the person who speaks up when something isn't right. You see technology as a way to give people their privacy back, not just a cool gadget. You're an entrepreneur at heart. We want people who can help others launch micro-businesses and build actual careers. You're a high-performer who wants to be surrounded by other high-performers. This is NOT for you if: You have "passive energy." If you wait for a manager to tell you exactly what to do every hour, you will fail here. You think "good enough" is an acceptable standard for the people we support. You struggle with technology or change. We move fast and use tools to stay ahead. The Work You won't be sitting in a facility. You'll be out in the community, networking, and helping people develop skills that actually matter. You'll work closely with Work With Purpose to bridge the gap between "pre-vocational training" and actual self-sufficiency. Administrative Note Scope of Work: Perform other duties as assigned by Managers or Directors to support the evolving needs of the individuals and the agency. Operational Flexibility: The expectation to work additional hours beyond your primary schedule, availability between 7:00 am to 7:00 pm, to meet the needs of our clients, address emergencies, or ensure operational excellence. The Gauntlet We don't just check your references; we test your heart. Round 1 - Vibe Check: You'll do a video assessment via Willo so we can see your energy before we meet. Round 2 - The Profile: We use CliftonStrengths to see how you're wired. We only put people in positions where they can win. You will do a live interview with our hiring team to review the results. Round 3 - The Shadow: You'll join us for a job shadow. You'll see the high bar we set, and we'll see if you can clear it. The Launch: Our 1-60 day training is aggressive. It's designed to weave you into our culture so that by day 61, you live and breathe Avant values. The Bottom Line The pay is competitive, the team is elite, and the mission is real. If you're tired of being the only one in your department who cares, come join a company where everyone does. The Tech-Forward Edge We don't just use technology; it is the backbone of how we create, collaborate, and communicate. As a highly technical organization, we operate at a fast pace where digital fluency isn't just a plus-it's a prerequisite. We expect every member of our team to be more than just "comfortable" with a computer; you should be a power user who thrives in a cloud-first environment. What We're Looking For: High Technical Aptitude: You possess a natural curiosity for software and a "figure-it-out" mentality when navigating new platforms. Google Workspace Mastery: Preference is given to candidates who are experts in the Google Workspace ecosystem (Drive, Docs, Sheets, Slides, and Admin). You should understand how to leverage these tools for maximum efficiency and real-time collaboration. Digital Agility: Whether it's automating a workflow, managing complex file architectures, or troubleshooting your own stack, you stay ahead of the curve. Why Join the Avant Team? You won't just be "checking boxes." You will be the visionary who ensures our medical systems are as resilient as the people we support. You'll have the autonomy to build better protocols and the clinical heart to care for those who need it most. Ready to prove you belong? Apply now.

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position Ontada is seeking a highly motivated and hands-on Programmer/Analyst (P3) to support the design, development, and optimization of enterprise-scale healthcare data platforms. This role will play a critical part in building scalable data pipelines, modern analytics solutions, and cloud-based data engineering capabilities that power reporting, insights, and data-driven decision making across the organization. The ideal candidate combines deep technical expertise in Databricks, SQL, Python, and modern Business Intelligence platforms such as Power BI and Tableau with a strong understanding of healthcare data. This individual will collaborate closely with engineering, analytics, product, and business stakeholders to deliver reliable, high-performing, and scalable data solutions while ensuring compliance with healthcare data governance and regulatory requirements. Key Responsibilities Design, develop, and maintain scalable data pipelines using Databricks, Delta Lake, Apache Spark, SQL, and Python. Build and optimize ETL/ELT processes to support enterprise reporting, analytics, and operational data needs. Develop efficient data models and database solutions to enable high-performance analytics and business intelligence workloads. Partner with business stakeholders, product teams, and analytics teams to translate business requirements into scalable data solutions. Create and maintain dashboards, reports, and visualizations using Power BI and Tableau to provide actionable business insights. Ensure data quality, integrity, governance, and security across healthcare data platforms. Support ingestion, transformation, and integration of clinical, claims, provider, and patient datasets. Implement data validation, monitoring, and observability processes to ensure data reliability and operational excellence. Design and support workflow orchestration solutions using Databricks Workflows, Apache Airflow, or similar tools. Contribute to cloud-based data modernization initiatives and enterprise analytics platforms. Develop and maintain CI/CD pipelines and deployment processes utilizing GitHub and modern DevOps practices. Apply AI-assisted development tools to improve engineering productivity, code quality, testing, documentation, and overall delivery efficiency. Participate in Agile ceremonies including sprint planning, backlog refinement, estimation, and retrospectives. Troubleshoot complex data and performance issues and implement sustainable solutions. Collaborate effectively with cross-functional teams across engineering, architecture, product management, analytics, and operations. Minimum Requirement Degree or equivalent and typically requires 4+ years of relevant experience. Education Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Science, or a related field, or equivalent practical experience. Critical Skills 4+ years of experience in data engineering, database engineering, software engineering, or a related technical discipline. 3+ years of hands-on experience with SQL and relational database technologies. 2+ years of experience with Python development and automation. 2+ years of experience with Databricks, Spark, or modern cloud-based data engineering platforms. Experience with Power BI and/or Tableau. Experience working in Agile development environments. Experience using GitHub and CI/CD processes. Strong analytical, troubleshooting, and problem-solving capabilities. Technical Skills Data Engineering & Platform Technologies Strong hands-on experience with Databricks, including Delta Lake and Apache Spark. Advanced proficiency in SQL for complex queries, performance tuning, data modeling, and optimization. Strong programming expertise in Python for automation, data processing, integration, and analytics. Experience designing and maintaining enterprise-scale data pipelines and data processing frameworks. Experience with workflow orchestration platforms such as Databricks Workflows, Apache Airflow, or equivalent technologies. Reporting & Analytics Experience developing dashboards, reports, and visualizations using Power BI Ability to transform business requirements into actionable reporting and analytics solutions. Understanding of modern data warehousing, lakehouse architectures, and analytics best practices. DevOps & Software Engineering Strong knowledge of GitHub-based source control including branch protection policies, pull request reviews, release management, and version control best practices Experience implementing and maintaining CI/CD pipelines using GitHub Actions to automate build, testing, security validation, and deployment processes Familiarity with automated testing, deployment automation, and infrastructure best practices Experience working within Agile software development methodologies Healthcare Data Understanding of healthcare data domains, including: Clinical Data Claims Data Provider Data Patient Data Familiarity with HIPAA and healthcare compliance requirements. Understanding of healthcare data governance, privacy, and security best practices. AI-Assisted Development Experience leveraging AI development tools such as GitHub Copilot or equivalent solutions. Ability to utilize AI for code generation, optimization, testing, documentation, and productivity improvements. Preferred Qualifications Experience working in Azure cloud environments. Familiarity with Databricks, Delta Lake, Lakehouse architectures, and modern data platform design. Experience supporting large-scale healthcare analytics platforms. Experience with healthcare interoperability standards such as HL7 or FHIR. Experience implementing data quality frameworks and data observability solutions. Experience supporting enterprise reporting modernization initiatives. Exposure to machine learning, predictive analytics, or AI-enabled healthcare solutions. Core Attributes Exceptional problem-solving skills with the ability to troubleshoot and resolve complex technical and data-related challenges. Strong ownership mentality with a focus on accountability and delivering results. Naturally curious with a passion for continuous learning, innovation, and technology modernization. Excellent communication and collaboration skills across technical and non-technical stakeholders. Ability to work effectively in a fast-paced, data-driven, and highly collaborative environment. Strong attention to detail and commitment to delivering high-quality solutions. Demonstrates an enterprise mindset and a customer-first approach to decision-making. This position offers the possibility of a hybrid work arrangement based on recent updates to our in-office/work from home model. If located in DFW area, the selected candidate may be expected to work on site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in office days may be designated according to team needs and business priorities. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $111,800 - $186,400 . click apply for full job details

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position Ontada is seeking a highly motivated and hands-on Programmer/Analyst (P3) to support the design, development, and optimization of enterprise-scale healthcare data platforms. This role will play a critical part in building scalable data pipelines, modern analytics solutions, and cloud-based data engineering capabilities that power reporting, insights, and data-driven decision making across the organization. The ideal candidate combines deep technical expertise in Databricks, SQL, Python, and modern Business Intelligence platforms such as Power BI and Tableau with a strong understanding of healthcare data. This individual will collaborate closely with engineering, analytics, product, and business stakeholders to deliver reliable, high-performing, and scalable data solutions while ensuring compliance with healthcare data governance and regulatory requirements. Key Responsibilities Design, develop, and maintain scalable data pipelines using Databricks, Delta Lake, Apache Spark, SQL, and Python. Build and optimize ETL/ELT processes to support enterprise reporting, analytics, and operational data needs. Develop efficient data models and database solutions to enable high-performance analytics and business intelligence workloads. Partner with business stakeholders, product teams, and analytics teams to translate business requirements into scalable data solutions. Create and maintain dashboards, reports, and visualizations using Power BI and Tableau to provide actionable business insights. Ensure data quality, integrity, governance, and security across healthcare data platforms. Support ingestion, transformation, and integration of clinical, claims, provider, and patient datasets. Implement data validation, monitoring, and observability processes to ensure data reliability and operational excellence. Design and support workflow orchestration solutions using Databricks Workflows, Apache Airflow, or similar tools. Contribute to cloud-based data modernization initiatives and enterprise analytics platforms. Develop and maintain CI/CD pipelines and deployment processes utilizing GitHub and modern DevOps practices. Apply AI-assisted development tools to improve engineering productivity, code quality, testing, documentation, and overall delivery efficiency. Participate in Agile ceremonies including sprint planning, backlog refinement, estimation, and retrospectives. Troubleshoot complex data and performance issues and implement sustainable solutions. Collaborate effectively with cross-functional teams across engineering, architecture, product management, analytics, and operations. Minimum Requirement Degree or equivalent and typically requires 4+ years of relevant experience. Education Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Science, or a related field, or equivalent practical experience. Critical Skills 4+ years of experience in data engineering, database engineering, software engineering, or a related technical discipline. 3+ years of hands-on experience with SQL and relational database technologies. 2+ years of experience with Python development and automation. 2+ years of experience with Databricks, Spark, or modern cloud-based data engineering platforms. Experience with Power BI and/or Tableau. Experience working in Agile development environments. Experience using GitHub and CI/CD processes. Strong analytical, troubleshooting, and problem-solving capabilities. Technical Skills Data Engineering & Platform Technologies Strong hands-on experience with Databricks, including Delta Lake and Apache Spark. Advanced proficiency in SQL for complex queries, performance tuning, data modeling, and optimization. Strong programming expertise in Python for automation, data processing, integration, and analytics. Experience designing and maintaining enterprise-scale data pipelines and data processing frameworks. Experience with workflow orchestration platforms such as Databricks Workflows, Apache Airflow, or equivalent technologies. Reporting & Analytics Experience developing dashboards, reports, and visualizations using Power BI Ability to transform business requirements into actionable reporting and analytics solutions. Understanding of modern data warehousing, lakehouse architectures, and analytics best practices. DevOps & Software Engineering Strong knowledge of GitHub-based source control including branch protection policies, pull request reviews, release management, and version control best practices Experience implementing and maintaining CI/CD pipelines using GitHub Actions to automate build, testing, security validation, and deployment processes Familiarity with automated testing, deployment automation, and infrastructure best practices Experience working within Agile software development methodologies Healthcare Data Understanding of healthcare data domains, including: Clinical Data Claims Data Provider Data Patient Data Familiarity with HIPAA and healthcare compliance requirements. Understanding of healthcare data governance, privacy, and security best practices. AI-Assisted Development Experience leveraging AI development tools such as GitHub Copilot or equivalent solutions. Ability to utilize AI for code generation, optimization, testing, documentation, and productivity improvements. Preferred Qualifications Experience working in Azure cloud environments. Familiarity with Databricks, Delta Lake, Lakehouse architectures, and modern data platform design. Experience supporting large-scale healthcare analytics platforms. Experience with healthcare interoperability standards such as HL7 or FHIR. Experience implementing data quality frameworks and data observability solutions. Experience supporting enterprise reporting modernization initiatives. Exposure to machine learning, predictive analytics, or AI-enabled healthcare solutions. Core Attributes Exceptional problem-solving skills with the ability to troubleshoot and resolve complex technical and data-related challenges. Strong ownership mentality with a focus on accountability and delivering results. Naturally curious with a passion for continuous learning, innovation, and technology modernization. Excellent communication and collaboration skills across technical and non-technical stakeholders. Ability to work effectively in a fast-paced, data-driven, and highly collaborative environment. Strong attention to detail and commitment to delivering high-quality solutions. Demonstrates an enterprise mindset and a customer-first approach to decision-making. This position offers the possibility of a hybrid work arrangement based on recent updates to our in-office/work from home model. If located in DFW area, the selected candidate may be expected to work on site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in office days may be designated according to team needs and business priorities. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $111,800 - $186,400 . click apply for full job details

Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description While the AI innovation race in Biopharma is focused on Drug discovery, Product Development/ CMC represents the next barrier/ bottleneck. The complexity of biological systems, the rigor of regulatory expectations, the pace of pipeline growth, and the enormous value at stake make this one of the highest-leverage domains for applied data science and AI in the entire pharmaceutical value chain. We here at BTS - PDST, are building a dedicated, AI-native team that is driving cutting edge programs across early stage, late stage and commercial product development to accelerate E2E product development and launch, maximize yields of block buster products. Through our deep collaboration with PDST scientists we are boldly reimagining how Abbvie can bring our pipeline products and lifesaving drugs to patients faster, safer and in cost effective manner fueled by AI. Principal Data Engineer is a highly technical, AI-native role responsible for designing, building, and operating production-grade data pipelines and data products that power AI/ML, analytics, and automation across AbbVie's CMC and manufacturing ecosystem. This role is embedded inside PDST and works at the frontier of pharmaceutical data engineering. You will integrate and harmonize data from the full spectrum of manufacturing and development systems - including MES, historians, LIMS, QMS, ERP, and instrument platforms - and transform it into reliable, governed, semantically rich data assets that data scientists, process engineers, and AI systems can actually use. Enterprise-scale scope: Enterprise-scale biologics portfolio spanning clinical, commercial, and lifecycle stages Building AI playbook for the future: First-in-AbbVie and first-in-biologics analytical approaches; you build the AI playbook for the future Growth and Impact: Direct impact on regulatory submissions, commercial readiness, and manufacturing decisions through deep cross-functional exposure to manufacturing, quality, regulatory, and scientific leadership Mission: Every model you build helps ensure safe, reliable medicines reach patients at scale Responsibilities Data Ingestion & Integration Design and implement scalable, robust data ingestion pipelines that connect CMC and manufacturing source systems - including MES (Manufacturing Execution Systems), process historians, LIMS, QMS, ERP platforms, and instrument data sources - to centralized and federated data environments. Build connectors, adapters, and integration layers that handle the heterogeneous data formats, protocols, and latency profiles characteristic of pharmaceutical manufacturing environments. Support both batch and real-time/streaming data patterns, selecting appropriate architectures based on use case requirements. Data Harmonization & Semantic Modeling Develop and maintain harmonized data models and ontologies that bring consistency to CMC and manufacturing data across sites, systems, and modalities. Execute semantic mapping efforts that align source system fields, units, and identifiers to enterprise data standards and scientific meaning. Collaborate with process scientists, analytical chemists, and manufacturing engineers to ensure data models accurately reflect domain reality. Data Quality, Observability & Governance Implement automated data quality controls, validation frameworks, and anomaly detection mechanisms across pipeline layers. Build and maintain data lineage documentation and metadata infrastructure, enabling full traceability from source system to AI model input. Establish pipeline observability practices - monitoring, alerting, SLA tracking - to ensure data product reliability in production. Support data governance practices aligned with GxP requirements, 21 CFR Part 11, and AbbVie data standards. AI/ML Enablement & Data Product Development Architect and deliver governed, versioned, reusable data products purpose-built for AI/ML consumption, including feature stores, curated datasets, and vector-ready data layers for RAG and LLM applications. Partner closely with data scientists, ML engineers, and process modelers to understand model data requirements and translate them into reliable, scalable data infrastructure. Accelerate AI program delivery by eliminating data bottlenecks - not by workarounds, but by solving root causes structurally. Platform & Operational Enablement Contribute to the design and evolution of PDST's cloud-based data platform, including lakehouse architecture, data cataloging, access control, and compute infrastructure. Write and maintain infrastructure-as-code, CI/CD pipelines, and automated testing frameworks for data systems. Support platform onboarding of new CMC data domains and manufacturing sites, ensuring consistent application of standards and patterns. Provide operational support for production data pipelines, maintaining uptime and data freshness commitments. Stakeholder Engagement & Scientific Leadership Influence technical decision-making without formal authority - earning trust through scientific rigor, transparent methodology, and demonstrated business impact. Qualifications Required: Bachelor's Degree Computer Science, Data Engineering, Information Systems, Software Engineering, Bioinformatics, or a closely related technical field plus 6 years' experience; Master's Degree plus 5 years' experience; PhD plus 0 years' experience. Respective years of hands-on experience designing and building enterprise-grade data pipelines, integration workflows, and data products in complex, multi-source environments. Expert-level proficiency in Python for data engineering tasks - pipeline development, transformation logic, data validation, and automation. Strong SQL skills across modern analytical and transactional databases; comfort with both ANSI SQL and platform-specific dialects. Demonstrated experience with cloud data platforms (AWS, Azure, or GCP) and modern data stack components - including tools such as dbt, Spark, Airflow, Databricks, Snowflake, or equivalents. Develop ETL/ELT pipelines using tools such as Informatica, Talend, Apache NiFi, and cloud-native services (e.g., AWS Glue, Azure Data Factory). Implement master data management (MDM), metadata management, and data cataloging solutions to ensure proper data lineage, accessibility, and compliance. Set and enforce standards for API development and data integration (REST, GraphQL, OData), enabling seamless integration using microservices architectures. Ownership orientation: you define your own problem space, drive solutions to completion, and hold yourself accountable to outcomes - not just outputs. Solution-architect instinct: you think before you build, consider the full landscape of available approaches, and choose tools based on fit-for-purpose reasoning rather than familiarity or trend. Scientific integrity: you build models you can explain, defend, and improve - and you apply the same standard to the work of others. Influence through credibility: you earn the confidence of scientists, engineers, and quality professionals by being right, being clear, and being useful - not by title or volume. Bias for impact: you are drawn to problems where the stakes are high and the analytical opportunity is real, and you are energized rather than intimidated by ambiguity. Preferred: 3+ years of hands-on experience designing and building enterprise-grade data pipelines, integration workflows, and data products in complex, multi-source environments. Familiarity with technology transfer workflows, process characterization study design, or commercial process validation (PPQ/PV) in a biologics or pharmaceutical context. Experience in pharmaceutical, biotech, or other regulated life sciences manufacturing environments. Familiarity with GxP data principles, 21 CFR Part 11 compliance, or data integrity requirements in regulated industries. Prior exposure to manufacturing source systems such as MES, process historians (e.g., OSIsoft PI/AVEVA), LIMS, QMS, or ERP platforms Experience building data infrastructure for AI/ML programs - including feature engineering pipelines, model training datasets, or vector/embedding data layers for RAG architectures. Knowledge of biologics manufacturing processes (e.g., upstream cell culture, downstream purification, fill-finish) or CMC development workflows. Familiarity with data mesh, data fabric, or federated data architecture patterns. Experience with graph databases, knowledge graphs, or ontology frameworks applied to scientific or manufacturing data. Contributions to open-source data tooling or demonstrated engagement with the modern data engineering community. Design logical, physical, and conceptual data models using modeling tools (e.g., Erwin, PowerDesigner, dbt). . click apply for full job details

Job DescriptionJob Description Why we're different: ITRCC's efficiency relies on our team members; at the ITRCC you won't just be part of a company, you will be part of a family who respects their members and strives to cultivate sustainability. We are actively involved in the community, care for the wellbeing of our team members and understand the importance of work/life balance. Summary: The incumbent is responsible for safeguarding the organization's information systems by monitoring, analyzing, and remediating security events. The incumbent also supports the implementation and maintenance of cybersecurity strategies and tools. Relationships: • Internal Directly report to the Head of Cyber Security. • Direct interactions to work with and support the internal IT team. • Direct interaction with employees from various departments, including supervisors and managers. • Direct interaction with security vendors and regulatory entities. Responsibilities: • General: o Performs all tasks safely, complies with all internal and external safety requirements, supports ITRCC's safety culture, attends all safety training, and completes all compliance trainings as required by ITRCC. o Upholds ITRCC's core values: Community, Actions, Reliability, Excellence and Safety (CARES). • Level 1(including General): o Monitor and analyze events from security tools (e.g., SIEM, IDS/IPS, EDR) to detect and respond to cybersecurity threats. o Assist in conducting vulnerability scans, analyzing results, and supporting remediation efforts. o Configure and manage basic settings of security tools, such as antivirus software and endpoint protection systems. o Conduct initial security awareness training and support ongoing educational efforts for employees. o Participate in incident investigations by collecting and analyzing data. o Collaborate with cross-functional teams to address security concerns and support secure system configurations. o All other duties as assigned. • Level 2 (including level 1): o Collaborate with internal and external stakeholders, such as auditors and regulatory bodies, to ensure compliance with relevant security requirements, standards, and regulations. o Collaborate with cross-functional teams to design and implement secure network architectures, systems, and applications. o Configure and manage security tools such as intrusion detection/prevention systems, antivirus software, and endpoint protection solutions. • Level 3 (including level 2): o Serves as an industry leader in Cyber Security with at Least three relevant certifications. o Manage and oversee contracts and identifies performance issues and resolve such performance issues. o Design and implement network systems, identify KPIs and develop plans to monitor the network. o Manages PCI or NIST compliance with audits and achieves requires compliance and certifications. o Tier changes can happen if the employee meets the qualifications during the next review period. Qualifications: • Foundational knowledge of cybersecurity principles and tools • Basic experience in monitoring and responding to security events • Exposure to network troubleshooting and operating systems administration • Basic proficiency with security tools like SIEM and endpoint protection systems • Fundamental understanding of networking concepts (IP addressing, protocols like TCP/IP, and basic firewall rules) • Familiarity with operating systems (Windows, macOS, Linux). Strong analytical and problem-solving skills Desirable Experience:• Level 1: 1-2 years of relevant work experience • Level 2: 3-9 years of relevant work experience • Level 3: 10+ years of relevant work experience Working Conditions: This position requires: (Frequent est. 5 hrs. per shift) Frequent sitting, walking and standing Occasional talking and hearing Light physical effort Heavy computer usage Minimum 3 days in office or designated field office per week

Job DescriptionJob Description Fantom Corporation is a mission-focused organization supporting critical programs across the defense and intelligence community. We partner with our customers to deliver high-impact technical solutions while fostering a culture built on trust, expertise, and long-term career growth. We are seeking a DSP Algorithm Developer to support the design, development, and implementation of advanced digital signal processing solutions for mission-focused applications. This role involves developing high-performance algorithms for signal exploitation, adaptive signal processing, and complex waveform analysis in challenging operational environments. The ideal candidate has strong experience in DSP algorithm development, software engineering, and RF signal processing, with proficiency in C++, Python, and Linux-based development environments. Responsibilities Design, develop, and implement advanced Digital Signal Processing (DSP) algorithms for signal analysis and exploitation applications Develop software solutions focused on processing low signal-to-noise ratio (SNR) signals, higher-order modulation schemes, and adaptive signal processing techniques Support high-throughput signal exploitation and real-time processing environments Modify and enhance existing software and firmware to adapt Commercial Off-The-Shelf (COTS) and Government Off-The-Shelf (GOTS) technologies to meet mission requirements Collaborate with software engineers, system engineers, and technical teams to integrate DSP capabilities into larger systems and applications Analyze algorithm performance and optimize processing efficiency, accuracy, and scalability Develop technical documentation and provide clear explanations of models, algorithms, and processing techniques to support team collaboration and knowledge transfer Support testing, validation, troubleshooting, and operational deployment of DSP solutions Contribute to the development of innovative signal processing capabilities and next-generation technologies Required Qualifications Must be fully cleared with a recent MD polygraph Must be willing and able to work fully onsite at the location listed in this posting Bachelor's degree in Engineering, Computer Science, Electrical Engineering, or a related technical discipline (or equivalent experience) 7+ years of experience developing DSP algorithms in support of complex software or engineering programs 7+ years of experience with C++, Python, Linux, or similar software development technologies Strong understanding of Digital Signal Processing principles and algorithm development Experience developing software for signal exploitation, waveform analysis, or communications processing Experience working within Linux-based development environments Strong analytical, problem-solving, and software development skills Ability to communicate complex technical concepts to multidisciplinary engineering teams Desired Qualifications Master's degree in Engineering, Computer Science, Electrical Engineering, or related field Experience with RF software development and signal processing systems Experience adapting COTS and GOTS technologies to support specialized mission requirements Experience supporting real-time signal processing or communications systems Familiarity with advanced modulation techniques, adaptive processing, and low-SNR signal environments Experience working in classified or mission-critical technical environments Fantom Corp is a Software Development, Agile Cloud, Cyber Security (Risk Management, Assessments & Authorization (A&A , Data, AI Platform (Computer Vision Models), Podcasting Media Services, and IT Services provider. Established in 2015, Fantom Corp serves Federal customers with top-notch Cybersecurity Architects, Data Scientists/Analysts, Software Engineers/Developers, DevSecOps Engineers, Project Managers, Identity, Credential Access Management (ICAM) services , and Cloud-certified practitioners. We excel in delivering emerging technologies such as Artificial Intelligence (AI) and Machine Learning (ML) with a focus on identifying trends, object detection, and classification of structured and unstructured data. Fantom Corp possesses mastery in all aspects of digital audio production. We lead in the ideation and creation of efforts for clients who want to harness the power of podcasting. We guide them in selecting the right show format for their needs and goals. As a Small Business, we possess the innovation, speed and flexibility to meet your requirements. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionJob Description Fantom Corporation is a mission-focused organization supporting critical programs across the defense and intelligence community. We partner with our customers to deliver high-impact technical solutions while fostering a culture built on trust, expertise, and long-term career growth. We are seeking a DSP Algorithm Developer to support the design, development, and implementation of advanced digital signal processing solutions for mission-focused applications. This role involves developing high-performance algorithms for signal exploitation, adaptive signal processing, and complex waveform analysis in challenging operational environments. The ideal candidate has strong experience in DSP algorithm development, software engineering, and RF signal processing, with proficiency in C++, Python, and Linux-based development environments. Responsibilities Design, develop, and implement advanced Digital Signal Processing (DSP) algorithms for signal analysis and exploitation applications Develop software solutions focused on processing low signal-to-noise ratio (SNR) signals, higher-order modulation schemes, and adaptive signal processing techniques Support high-throughput signal exploitation and real-time processing environments Modify and enhance existing software and firmware to adapt Commercial Off-The-Shelf (COTS) and Government Off-The-Shelf (GOTS) technologies to meet mission requirements Collaborate with software engineers, system engineers, and technical teams to integrate DSP capabilities into larger systems and applications Analyze algorithm performance and optimize processing efficiency, accuracy, and scalability Develop technical documentation and provide clear explanations of models, algorithms, and processing techniques to support team collaboration and knowledge transfer Support testing, validation, troubleshooting, and operational deployment of DSP solutions Contribute to the development of innovative signal processing capabilities and next-generation technologies Required Qualifications Must be fully cleared with a recent MD polygraph Must be willing and able to work fully onsite at the location listed in this posting Bachelor's degree in Engineering, Computer Science, Electrical Engineering, or a related technical discipline (or equivalent experience) 7+ years of experience developing DSP algorithms in support of complex software or engineering programs 7+ years of experience with C++, Python, Linux, or similar software development technologies Strong understanding of Digital Signal Processing principles and algorithm development Experience developing software for signal exploitation, waveform analysis, or communications processing Experience working within Linux-based development environments Strong analytical, problem-solving, and software development skills Ability to communicate complex technical concepts to multidisciplinary engineering teams Desired Qualifications Master's degree in Engineering, Computer Science, Electrical Engineering, or related field Experience with RF software development and signal processing systems Experience adapting COTS and GOTS technologies to support specialized mission requirements Experience supporting real-time signal processing or communications systems Familiarity with advanced modulation techniques, adaptive processing, and low-SNR signal environments Experience working in classified or mission-critical technical environments Fantom Corp is a Software Development, Agile Cloud, Cyber Security (Risk Management, Assessments & Authorization (A&A , Data, AI Platform (Computer Vision Models), Podcasting Media Services, and IT Services provider. Established in 2015, Fantom Corp serves Federal customers with top-notch Cybersecurity Architects, Data Scientists/Analysts, Software Engineers/Developers, DevSecOps Engineers, Project Managers, Identity, Credential Access Management (ICAM) services , and Cloud-certified practitioners. We excel in delivering emerging technologies such as Artificial Intelligence (AI) and Machine Learning (ML) with a focus on identifying trends, object detection, and classification of structured and unstructured data. Fantom Corp possesses mastery in all aspects of digital audio production. We lead in the ideation and creation of efforts for clients who want to harness the power of podcasting. We guide them in selecting the right show format for their needs and goals. As a Small Business, we possess the innovation, speed and flexibility to meet your requirements. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Grow, innovate, and generate progress: Harness your expertise to solve challenges and celebrate success! Job Summary JCS Solutions is seeking an experienced Microsoft SaaS Solutions Technical Lead to lead the design, implementation, customization, and integration of Microsoft cloud-based business solutions for our federal clients. This role provides both technical leadership and hands-on expertise across Microsoft Dynamics 365, Power Platform, Microsoft 365, Azure, and related SaaS technologies. The ideal candidate will work closely with government stakeholders, project managers, and development teams to translate business requirements into scalable, secure, and mission-focused solutions. This position plays a critical role in driving innovation through Agile delivery methodologies, DevSecOps best practices, and modern cloud architectures. What's in it for you: Join a premier technology firm specializing in innovative solutions. Be part of a collaborative, inclusive, and innovative work culture. Enjoy tremendous growth potential in a high-performing team environment. A robust benefits package: Health, dental, and vision insurance Life insurance Short-and-long term disability Paid time off (PTO) 401k retirement plan with employer match Annual Professional Development Reimbursement Program And more! What you will do: Serve as the technical lead for the design, deployment, customization, integration, and optimization of Microsoft SaaS solutions, including Microsoft Dynamics 365, Power Platform, and Microsoft 365. Lead Agile development teams in delivering secure, scalable, and mission-focused business solutions. Collaborate with stakeholders to gather, analyze, and document functional and technical requirements. Translate business needs into technical solutions by mapping requirements to Microsoft Dynamics 365 and Power Platform capabilities. Design and implement integrations between Microsoft SaaS platforms and enterprise systems using modern APIs and cloud services. Provide hands-on technical guidance and mentorship to developers, administrators, and project team members. Lead solution deployment, provisioning, configuration management, and environment strategy across development, test, staging, and production environments. Establish and maintain DevSecOps practices utilizing Azure DevOps, CI/CD pipelines, automated testing, and secure development methodologies. Develop and oversee testing strategies, including system testing, regression testing, user acceptance testing (UAT), integration testing, and data validation. Ensure compliance with security, governance, and operational requirements while supporting continuity of operations and disaster recovery objectives. Lead post-deployment activities, including knowledge transfer, training, user support, and continuous improvement efforts. Identify opportunities to improve system performance, business processes, and user experience through innovative use of Microsoft technologies. Support technical proposal development, solution architecture reviews, and client briefings as required. This position requires periodic travel within the National Capital Region (NCR) to support customer meetings, workshops, deployment activities, and other program requirements. What you will bring: U.S. Citizenship required. Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical discipline. Equivalent professional experience may be considered. Minimum of 7 years of experience designing, developing, implementing, and supporting Microsoft business applications and cloud-based solutions. Minimum of 5 years of hands-on experience with Microsoft Dynamics 365 CRM/Customer Engagement platforms. Experience developing and implementing solutions using Microsoft Power Platform, including Power Apps, Power Automate, Power BI, and Dataverse. Experience integrating Microsoft platforms with external applications, services, and enterprise data sources. Working knowledge of Azure cloud services, Azure DevOps, CI/CD pipelines, and DevSecOps practices. Experience leading technical teams in Agile/Scrum development environments. Strong analytical, troubleshooting, and problem-solving skills. Excellent verbal and written communication skills with the ability to engage effectively with technical and non-technical stakeholders. Demonstrated ability to lead projects, prioritize competing requirements, and deliver high-quality solutions. How will you wow us: Active Secret Security Clearance. Microsoft certifications in Dynamics 365, Power Platform, Azure, or Microsoft 365. Experience supporting federal government customers. Knowledge of case management solutions and workflow automation platforms. Experience with data migration, system modernization, and cloud transformation initiatives. Familiarity with cybersecurity frameworks, compliance requirements, and Zero Trust architectures. JCS Solutions (JCS) is a premier technology firm providing innovative solutions and high-quality services in defense, national security, and civilian sectors. JCS offers enterprise-wide solutions including cloud computing, software development, cybersecurity, digital modernization, and management consulting for the federal government. At JCS, we elevate our customers' mission through the application of technology and professional services. Our commitment to investing in our workforce drives innovation and progress for our clients, employees, and communities. JCS is both a Great Place to Work and a Top Places to Work certified company. Our employees embody our core values, and we are looking for others who do too! Customer Experience: Strive for excellence and delight our clients Innovation: Embrace creative thinking to enable continual growth and powerful solutions Accountability: Take ownership of and pride in our actions and service delivery Inspire: Be inspired to be your best self and have fun in the process Integrity: Do the right thing, the right way, every time! Stewardship: The careful and responsible management of something entrusted to our care. At JCS Solutions, compensation is based on a number of factors such as location, qualifications, and applicable contract terms. The general salary range for this position is as follows: $120,000.00 - $150,000.00 Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to any protected status protected by applicable federal, state, or local laws. NOTICE : Please be aware that all JCS Solutions communications related to job interviews and offers from our recruiting team will only come We want to emphasize that we do not conduct any interviews over Discord, Slack, Skype, Zoom, or any chat app. Powered by JazzHR njxd8mVyn9

Job Description Job Description Description Technical Lead - Microsoft Technologies (.NET, Azure, Angular, AI) Preference will be given to candidates located in Dallas, TX, New Jersey or New York City metro area who are willing to have an insite interview, and/or work a hybrid schedule. About Hallmark Health Care Solutions At Hallmark Health Care Solutions, what we do and how we do it go hand in hand. We bring a relentless focus to both our products and our people-grounded in curiosity, a bias for action, accountability and ownership, strong judgment, and a willingness to challenge the status quo in pursuit of better outcomes. Hallmark Health Care Solutions is led by passionate experts with an average of 20+ years' experience in IT, nursing, process engineering, finance, and healthcare. We are committed to strengthening communities by producing technologies, support services, and thought leadership that tangibly improve patient care and community health outcomes. Position Summary Seeking a hands-on Technical Lead with strong Microsoft stack, Azure, Angular, and cloud-native application expertise. The ideal candidate will lead teams, design scalable solutions, and drive engineering best practices. Experience with Azure AI, Azure OpenAI, or similar platforms is required. The role combines technical leadership, hands-on development, code reviews, architecture guidance, and mentoring. Key Responsibilities Software Development Design and develop scalable enterprise applications using C#, .NET Core/.NET 8+, ASP.NET Core, and Web APIs. Develop modern, responsive front-end applications using Angular and TypeScript. Build secure RESTful APIs and microservices. Optimize application performance, scalability, and reliability. Troubleshoot complex production issues and provide root cause analysis. Exposure to Basic Azure Cloud & Infrastructure Management and services like AKS, Service Bus, App Insights etc . Design and implement authentication and authorization using Microsoft Entra ID (Azure AD) and Azure AD B2C (Microsoft Entra External ID). Candidate should have practical experience implementing AI solutions, Should have exposure to Database design & Performance optimization AI Solution Design & Delivery Understand business problems and translate them into scalable AI/ML and Generative AI solutions. Design, develop, and deploy enterprise-grade AI systems with a strong focus on reliability, scalability, monitoring, and measurable outcomes. Lead or contribute to multiple AI initiatives simultaneously while coordinating with engineering leads, product managers, architects, and offshore teams. Technical Leadership Lead one or more Agile development teams delivering enterprise SaaS applications. Provide technical direction and architectural guidance throughout the software development lifecycle. Establish and enforce coding standards, design principles, and development best practices. Conduct thorough code reviews and ensure high-quality, maintainable code. Mentor developers and help improve their technical capabilities. Participate in sprint planning, backlog refinement, estimation, and technical design discussions. Drive engineering excellence through automation, quality, and continuous improvement. Candidate will be working closely with Product Managers, Architects, QA Engineers, DevOps Engineers, and Business Analysts. Skills, Knowledge & Expertise Required Qualifications Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience). 8+ years of software development experience using Microsoft technologies. 3+ years leading engineering teams or serving as a Technical Lead Expert-level proficiency in: C# .NET Core / .NET 6/7/8 ASP.NET Core Web APIs Entity Framework Core SQL Server Strong experience with Angular (v12+) and TypeScript. 2+ years of software engineering experience with at least 3+ years focused on AI/ML and Generative AI initiatives. Strong hands-on experience building and deploying production AI systems. Experience delivering AI initiatives independently in enterprise environments. Strong understanding of LLMs, Agentic AI architectures, and RAG systems. Extensive experience designing and developing cloud-native applications on Microsoft Azure. Strong understanding of Microservices Architecture and Domain-Driven Design (DDD). Experience implementing CI/CD pipelines using Azure DevOps or GitHub Actions. Strong knowledge of Azure AD, Azure AD B2C (Microsoft Entra External ID), OAuth 2.0, and JWT. Excellent debugging, troubleshooting, and performance optimization skills. Experience conducting technical design reviews and code reviews. Job Benefits Medical, Dental, and Vision Insurance with Employee Premiums Covered by HHCS at 100% and Company Cost Share for any Dependents Enrolled $3000 Annual Company Contributions to HSAs for all Employees Enrolled in the HSA Eligible Health Plan Unlimited Paid Time Off Pre-Tax and Roth 401(K) Retirement Options On-Site Gym, Free Parking, and Provided Lunches 3 Times per Week in the Dallas Office! Hallmark Health Care Solutions, Inc is an Equal Opportunity Employer. All employment decisions are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex, age, physical, mental or sensory disability, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. HHCS reserves the right to amend the job description, duties or qualifications based on company needs. By applying to Hallmark Health Care Solutions, your application and all supplemental information is subject to our Privacy Policy. When clicking "Apply", you will be redirected to our Applicant Tracking System, Pinpoint.

Job Description Job Description Hybrid (Mechanicsburg, PA Office) - Some local and Mid-Atlantic travel required Full-Time / Consultant Role JOB DESCRIPTION We are seeking a dynamic Specialist with a strong construction and IT background to join our team with hands on experience using Autodesk design tools like Revit, AutoCAD, and Bluebeam. In this hybrid role, you will assist in computerized drafting for residential, agricultural, and commercial projects along with bridging the gap between technical IT support and drafting/design expertise, supporting clients in the construction and architectural design industries. As a consultant, you will provide essential IT support to construction and design professionals that contribute directly to their daily drafting and design project needs. You must be comfortable shifting between technical support, CAD production, and client consulting throughout your work week. RESPONSIBILITIES (Design / Drafting) Utilize Autodesk products (Revit/AutoCAD/Bluebeam/3D Rendering software) working on multi- discipline architectural projects Develop detailed design concepts, including sketches, drawings, and 3D models. Prepare and modify construction documentation for commercial, agricultural, and residential projects, including new plans and renovations of existing buildings. Ensure compliance with building codes, zoning laws, and other regulations throughout the design process. Collaborate with clients to understand their needs and preferences for architectural projects. Assist in documentation for Permit applications. Prepare presentations and visualizations to effectively communicate design ideas. Conduct site visits and assessments to gather information for design development. Collaborate with engineers, contractors, and other professionals during the design and construction phases to ensure design integrity. Develop solutions for technical and design problems Assist with development and implementation of CADD Standards Ability to troubleshoot software and file issues. Oversee and coordinate BIM processes. RESPONSIBILITIES (IT Support) Provide day-to-day IT support for design and engineering professionals, including hardware, software, network, and application troubleshooting. Support and maintain CAD workstations and related software (AutoCAD, Revit, Bluebeam, etc.). Assist with BIM coordination and document control when required. Serve as a trusted consultant to construction and design clients, offering both technical support and design insights. Track and bill time accurately for all client-facing and internal tasks. Work closely with internal teams and clients to understand and deliver project goals. Travel to client sites across the Mid-Atlantic region as needed. QUALIFICATIONS Knowledge of Autodesk Products (Revit/AutoCAD/Bluebeam/3D rendering). Knowledge of wood, steel, and concrete construction details and processes. Strong troubleshooting skills with Windows-based systems, CAD workstations, and design software. Must have excellent communication, customer service, and problem-solving skills Exceptional attention to detail and ability to manage multiple tasks in a fast-paced environment. Must have a valid driver's license. Experience with cloud-based collaboration tools (e.g., BIM 360, Microsoft Teams). Certifications in IT support or CAD systems (e.g., Autodesk Certified Professional, CompTIA, Microsoft). Associate degree in Engineering Technology or CAD Technology, or a minimum of two full years of drafting experience. 3+ years of experience in IT support, preferably in the AEC (Architecture, Engineering, Construction) industry. Company Description Splashwire is a trusted IT consulting and solutions company dedicated to making technology seamless and secure. We lead our clients with experienced vCIO's, delivering expert IT support, managed services, resilient cloud solutions, and robust cybersecurity to keep your business protected and running efficiently. Company Description Splashwire is a trusted IT consulting and solutions company dedicated to making technology seamless and secure. We lead our clients with experienced vCIO's, delivering expert IT support, managed services, resilient cloud solutions, and robust cybersecurity to keep your business protected and running efficiently.

Staff AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. ion. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer McLean, VA: $269,100 - $307,200 for Staff AI Engineer New York, NY: $293,600 - $335,100 for Staff AI Engineer San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer San Jose, CA: $293,600 - $335,100 for Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide . click apply for full job details

Machine Learning Engineer 4 - Intelligent Foundations and Experiences (IFX) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years of experience optimizing ML algorithms, configurations, and infrastructure 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans. 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (AI Foundations) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $179,400 - $204,700 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 4 - Intelligent Foundations and Experiences (IFX) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years of experience optimizing ML algorithms, configurations, and infrastructure 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans. 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Family: SAAS/PAAS/Cloud Consulting Travel Required: Up to 25% Clearance Required: Ability to Obtain Public Trust What You Will Do: We are looking for a hands-on software engineer with deep knowledge of Microsoft Power Platform, including some UiPath understanding. An expert on Power Apps to design, configure and develop custom solutions in Microsoft Power platform. The candidate will take an active role in supporting and building on the MPP application. The candidate will have excellent presentation, communication, leadership, and client development skills to effectively present information to C-level management, public groups, and/or the board of directors. The candidate should have excellent organizational and multi-tasking skills, attention to quality, self-motivation and a strong desire to succeed. Responsibilities: Drive Microsoft Power Platform implementations through all project phases including discovery, definition, build, test, and deploy Identify the client's sales, marketing, and customer service requirements through discovery meetings Delivering services and solutions for clients using Microsoft's PowerApps, Power BI, SharePoint, Power Automate, Microsoft Teams, custom development, and data integrations Provide hands-on technical expertise to design and implement Power Platform based solutions satisfying customer requirements. Conduct end-user training and create and maintain knowledge transfer documentation Automate business processes with Power Apps and Power Automate; outputs will include data visualization and low code applications Develop and continue to refine Power Platform implementation standards and tools Present tailored demonstrations of the technology solution Responsible for high quality, bug-free development as per the coding standards in close collaboration and interaction with other members of the development/QA team Participate in daily project scrum meetings and provide a daily personal status report Collaborate with stakeholders and project team members to design and implement the enterprise Microsoft Dynamics solution ensuring high quality, reliable Serve as Microsoft Power Platform Subject Matter Expert (SME), with technical expertise including system architecture, solution design, system configuration, and security management Help create design documentation for new solutions and functions Work with the support team to resolve production support issues Will be proactive in staying up to date on the latest updates to the Power Platform, as well as future roadmap features announced in Microsoft's wave plans What You Will Need: Must have a minimum of FOUR (4) years of Microsoft Power Platform or Dynamics 365 CRM development experience Selected Candidate must be able to commute onsite to the client as needed US Citizenship is contractually required Must have a Bachelor's degree (4yr college degree) Hands-on experience with SharePoint 2013 or newer to include both on-premise and SharePoint Online, SharePoint Designer to include creating custom workflow solutions, and PowerApps / Power Automate (M365 Suite of Products) Experience in designing complex common data models Understanding of RPA development lifecycle, including process and object creation. Experience developing with UiPath. Familiarity with RPA Control Room, queue management, and scheduling. Ability to follow RPA best practices and coding standards under supervision. Intermediate to advanced knowledge of relational database concepts Experience in using OOTB connectors for Power Apps and Power Automate Experience in design and development of Canvas and Model-driven Power Apps by utilizing Microsoft Dataverse, SharePoint, or other databases as the backend data storage model Knowledge and experience with writing technical requirements, test scripts and knowledge of software programming languages and technologies. Experience in a Software as a Service (SaaS) environment Experience customizing SharePoint lists and disparate systems with PowerApps Experience developing PowerApps model Ability to communicate technical information clearly and concisely to technical and nontechnical users Ability to initiate majority of relevant tasks, specify and plan activities for task accomplishments and notify supervisor of variances. Prior experience working in a non- governmental organization (NGO) Hands-on experience with Power Apps and Power Platform technical solutions Work experience with Software as a Service (SaaS) and/or Platform as a Service (PaaS) environments Core Skills: C#, SQL, .Net, Power Apps, SharePoint, Microsoft DataVerse (CDS), Power Automate Experience with and a good understanding of the Power Platform CoE and governance components What Would Be Nice To Have: Experience in "Big 4" or equivalent established consulting firm and/or Microsoft Gold partner highly desired Experience with RPA tools like UiPath BA/BS degree in Business, Computer Science or Engineering Experience with public sector clients preferred Experience with Agile or Hybrid-Agile methodology The annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.